Conference Proceeding
Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection
Ieracitano C, Adeel A, Gogate M, Dashtipour K, Morabito FC, Larijani H, Raza A & Hussain A (2018) Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection. In: Ren J, Hussain A, Zheng J, Liu C, Luo B, Zhao H & Zhao X (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2018. Lecture Notes in Computer Science, 10989. BICS 2018: International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer Verlag, pp. 759-769. https://doi.org/10.1007/978-3-030-00563-4_74
Article
Towards workload-aware cloud resource provisioning using a multi-controller fuzzy switching approach
Ullah A, Li J & Hussain A (2018) Towards workload-aware cloud resource provisioning using a multi-controller fuzzy switching approach. International Journal of High Performance Computing and Networking, 12 (1), pp. 13-25. https://doi.org/10.1504/IJHPCN.2018.093838
Conference Proceeding
From exponential analysis to Padé approximation and tensor decomposition, in one and more dimensions
Cuyt A, Knaepkens F & Lee W (2018) From exponential analysis to Padé approximation and tensor decomposition, in one and more dimensions. In: Gerdt V, Koepf W, Seiler W & Vorozhtsov E (eds.) Computer Algebra in Scientific Computing. CASC 2018. Lecture Notes in Computer Science (LNCS), 11077. Computer Algebra in Scientific Computing, Lille, France, 17.09.2018-21.09.2018. Cham, Switzerland: Springer International Publishing, pp. 116-130. https://doi.org/10.1007/978-3-319-99639-4_8
Book Chapter
A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management
Adeel A, Gogate M, Farooq S, Ieracitano C, Dashtipour K, Larijani H & Hussain A (2018) A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management. In: Durrani T, Wang W & Forbes S (eds.) Geological Disaster Monitoring Based on Sensor Networks. Springer Natural Hazards. Singapore: Springer, pp. 57-66. https://doi.org/10.1007/978-981-13-0992-2_5
Article
Electronic Swallowing Intervention Package to Support Swallowing Function in Patients With Head and Neck Cancer: Development and Feasibility Study
Cowie J, Boa S, King E, Wells M & Cairns D (2018) Electronic Swallowing Intervention Package to Support Swallowing Function in Patients With Head and Neck Cancer: Development and Feasibility Study. JMIR Formative Research, 2 (2), Art. No.: e15. https://doi.org/10.2196/formative.9703
Conference Proceeding
Multifractality and Dimensional Determinism in Local Optima Networks
Thomson S, Verel S, Ochoa G, Veerapen N & Cairns D (2018) Multifractality and Dimensional Determinism in Local Optima Networks. In: Proceedings of the Genetic and Evolutionary Computation Conference 2018. 2018 Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, Japan, 15.07.2018-19.07.2018. New York: ACM, pp. 371-378. http://gecco-2018.sigevo.org; https://doi.org/10.1145/3205455.3205472
Conference Proceeding
On the Fractal Nature of Local Optima Networks
Thomson SL, Verel S, Ochoa G, Veerapen N & McMenemy P (2018) On the Fractal Nature of Local Optima Networks. In: Liefooghe A & López-Ibáñez M (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2018.. Lecture Notes in Computer Science, 10782. EvoCOP 2018 - The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation, Parma, Italy, 04.04.2018-06.04.2018. Cham, Switzerland: Springer, pp. 18-33. https://doi.org/10.1007/978-3-319-77449-7_2
Conference Proceeding
Querying Metric Spaces with Bit Operations
Connor R & Dearle A (2018) Querying Metric Spaces with Bit Operations. In: Similarity Search and Applications. SISAP 2018. Lecture Notes in Computer Science, 11223. 11th International Conference on Similarity Search and Applications - SISAP 2018, Lima, Peru, 07.10.2018-09.10.2018. Cham, Switzerland: Springer, pp. 33-46. https://doi.org/10.1007/978-3-030-02224-2_3
Conference Proceeding
Evolving training sets for improved transfer learning in brain computer interfaces
Adair J, Brownlee A, Daolio F & Ochoa G (2018) Evolving training sets for improved transfer learning in brain computer interfaces. In: Nicosia G, Pardalos P, Giuffrida G & Umeton R (eds.) Machine Learning, Optimization, and Big Data. MOD 2017. Lecture Notes in Computer Science, 10710. MOD 2017 - The Third International Conference on Machine Learning, Optimization and Big Data, Volterra, Italy, 14.09.2017-17.09.2017. Cham, Switzerland: Springer, pp. 186-197. https://link.springer.com/chapter/10.1007/978-3-319-72926-8_16; https://doi.org/10.1007/978-3-319-72926-8_16
Conference Proceeding
Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces
Adair J, Brownlee A & Ochoa G (2018) Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces. In: Applications of Evolutionary Computation. EvoApplications 2018. Lecture Notes in Computer Science, 10784. EvoStar 2018, Parma, Italy, 04.04.2018-06.04.2018. Cham, Switzerland: Springer, pp. 63-77. https://link.springer.com/chapter/10.1007/978-3-319-77538-8_5; https://doi.org/10.1007/978-3-319-77538-8_5
Article
Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review
Mavragani A, Ochoa G & Tsagarakis KP (2018) Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. JMIR, 20 (11), Art. No.: e270. https://doi.org/10.2196/jmir.9366
Article
Visualising the Global Structure of Search Landscapes: Genetic Improvement as a Case Study
Veerapen N & Ochoa G (2018) Visualising the Global Structure of Search Landscapes: Genetic Improvement as a Case Study. Genetic Programming and Evolvable Machines, 19 (3, Special Issue: SI), pp. 317-349. https://doi.org/10.1007/s10710-018-9328-1
Conference Proceeding
DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation
Gogate M, Adeel A, Marxer R, Barker J & Hussain A (2018) DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation. In: Proceedings of the Annual Conference of the International Speech Communication Association. Interspeech 2018, 02.09.2018-06.09.2018. Baixas, France: ISCA, pp. 2723-2727. https://doi.org/10.21437/Interspeech.2018-2516
Article
Multivariate exponential analysis from the minimal number of samples
Cuyt A & Lee W (2018) Multivariate exponential analysis from the minimal number of samples. Advances in Computational Mathematics, 44 (4), pp. 987-1002. https://doi.org/10.1007/s10444-017-9570-8
Meeting Abstract
The effects of emotional distress on quality of life of patients with heart failure and their family caregivers: Testing dyadic dynamics using the Actor-Partner Interdependence Model
Thomson P, Howie CA, Leslie SJ, Angus N, Mohan AR, Mondoa C, Smith A & Chung M (2018) The effects of emotional distress on quality of life of patients with heart failure and their family caregivers: Testing dyadic dynamics using the Actor-Partner Interdependence Model [Emotional distress and quality of life in patient-caregiver dyads]. EuroHeartCare 2018, Dublin Ireland, 7 June 2018- 9 June 2018. European Journal of Cardiovascular Nursing, 17 (S1), pp. S2-S3. https://journals.sagepub.com/doi/10.1177/1474515118787764
Article
Genetic Improvement of Software: a Comprehensive Survey
Petke J, Haraldsson S, Harman M, Langdon WB, White D & Woodward J (2018) Genetic Improvement of Software: a Comprehensive Survey. IEEE Transactions on Evolutionary Computation, 22 (3), pp. 415-432. https://doi.org/10.1109/TEVC.2017.2693219
Conference Proceeding
Superresolution underwater acoustics
Cuyt A, Lee W, Tijskens E, Hong W, Wang J, Cools T & Geerts T (2018) Superresolution underwater acoustics. In: Proceedings of Euronoise 2018. Euronoise 2018, 27.05.2018-31.05.2018. Crete, Greece: Hellenic Institute of Acoustics, pp. 2845-2850. http://www.euronoise2018.eu/docs/papers/469_Euronoise2018.pdf
Article
Deterministic sparse FFT for M-sparse vectors
Plonka G, Wannenwetsch K, Cuyt A & Lee W (2018) Deterministic sparse FFT for M-sparse vectors. Numerical Algorithms, 78 (1), pp. 133-159. https://doi.org/10.1007/s11075-017-0370-5
Conference Proceeding
Deep learning driven multimodal fusion for automated deception detection
Gogate M, Adeel A & Hussain A (2018) Deep learning driven multimodal fusion for automated deception detection. In: 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Honolulu, HI, USA, November 27 - Dec. 1, 2017. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA, 27.11.2017-01.12.2017. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/ssci.2017.8285382
Article
The tubercular badger and the uncertain curve:- the need for a multiple stressor approach in environmental radiation protection
Mothersill C, Abend M, Bréchignac F, Copplestone D, Geras’kin S, Goodman J, Horemans N, Jeggo P, McBride W, Mousseau TA, O’Hare A, Papineni RVL, Powathil G, Schofield PN & Austin B (2018) The tubercular badger and the uncertain curve:- the need for a multiple stressor approach in environmental radiation protection. Environmental Research, 168, pp. 130-140. https://doi.org/10.1016/j.envres.2018.09.031
Article
Optimisation of transportation service network using kappa-node large neighbourhood search
Bai R, Woodward J, Subramanian N & Cartlidge J (2018) Optimisation of transportation service network using kappa-node large neighbourhood search. Computers and Operations Research, 89, pp. 193-205. https://doi.org/10.1016/j.cor.2017.06.008
Conference Proceeding
Fixing bugs in your sleep: How genetic improvement became an overnight success
Haraldsson S, Woodward J, Brownlee A & Siggeirsdottir K (2017) Fixing bugs in your sleep: How genetic improvement became an overnight success. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1513-1520. https://doi.org/10.1145/3067695.3082517
Conference Proceeding
The Effect of Landscape Funnels in QAPLIB Instances
Thomson S, Ochoa G, Daolio F & Veerapen N (2017) The Effect of Landscape Funnels in QAPLIB Instances. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion 2017, Berlin, Germany, July 15–19, 2017 (GECCO ’17). GECCO ’17: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 1495-1500. https://doi.org/10.1145/3067695.3082512
Conference Proceeding
Comparing Communities of Optima with Funnels in Combinatorial Fitness Landscapes
Thomson S, Daolio F & Ochoa G (2017) Comparing Communities of Optima with Funnels in Combinatorial Fitness Landscapes. In: Proceedings of the Genetic and Evolutionary Computation Conference 2017, Berlin, Germany, July 15–19, 2017 (GECCO ’17). GECCO ’17: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 377-384. https://doi.org/10.1145/3071178.3071211
Conference Proceeding
High-dimensional simplexes for supermetric search
Connor R, Vadicamo L & Rabitti F (2017) High-dimensional simplexes for supermetric search. In: Beecks C, Borutta F, Kröger P & Seidl T (eds.) Similarity Search and Applications. SISAP 2017. Lecture Notes in Computer Science, 10609. Similarity Search and Applications 10th International Conference, SISAP 2017, Munich, 04.10.2017-06.10.2017. Cham, Switzerland: Springer, pp. 96-109. https://doi.org/10.1007/978-3-319-68474-1_7
Conference Proceeding
Sparse interpolation, the FFT algorithm and FIR filters
Briani M, Cuyt A & Lee W (2017) Sparse interpolation, the FFT algorithm and FIR filters. In: Gerdt V, Koepf W, Seiler W & Vorozhtsov E (eds.) Computer Algebra in Scientific Computing - 19th International Workshop, CASC 2017, Beijing, China, September 18-22, 2017, Proceedings. Lecture Notes in Computer Science (LNCS), 10490. 19th International Workshop on Computer Algebra in Scientific Computing, Beijing, China, 18.09.2017-22.09.2017. Cham, Switzerland: Springer International Publishing, pp. 27-39. https://doi.org/10.1007/978-3-319-66320-3
Conference Proceeding
Validated exponential analysis for harmonic sounds
Briani M, Cuyt A & Lee W (2017) Validated exponential analysis for harmonic sounds. In: Torin A, Hamilton B, Bilbao S & Newton M (eds.) Proceedings of the 20th International Conference on Digital Audio Effects (DAFx-17). DAFx proceedings series. 20th International Conference on Digital Audio Effects, Edinburgh, UK, 05.09.2017-09.09.2017. Hamburg, Germany: University of Edinburgh, pp. 222-227. http://www.dafx17.eca.ed.ac.uk/Proceedings.html
Conference Proceeding
The use of predictive models in dynamic treatment planning
Haraldsson S, Brynjolfsdottir RD, Woodward J, Siggeirsdottir K & Gudnason V (2017) The use of predictive models in dynamic treatment planning. In: 2017 IEEE Symposium on Computers and Communications (ISCC). IEEE Symposium on Computers and Communications (ISCC 2017), Heraklion, Greece, 03.07.2017-06.07.2017. Piscataway, NJ, USA: IEEE, pp. 242-247. https://doi.org/10.1109/ISCC.2017.8024536
Conference Proceeding
Exploring Fitness and Edit Distance of Mutated Python Programs
Haraldsson S, Woodward J, Brownlee A & Cairns D (2017) Exploring Fitness and Edit Distance of Mutated Python Programs. In: McDermott J, Castelli M, Sekanina L, Haasdijk E & García-Sánchez P (eds.) Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings. Lecture Notes in Computer Science, 10196. EuroGP 2017: Genetic Programming, Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham: Springer International Publishing, pp. 19-34. https://doi.org/10.1007/978-3-319-55696-3_2
Conference Proceeding
A new fast large neighbourhood search for service network design with asset balance constraints
Bai R, Woodward J & Subramanian N (2017) A new fast large neighbourhood search for service network design with asset balance constraints. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece, 06.12.2016-09.12.2016. Piscataway, NJ, USA: Institute of Electrical and Electronic Engineers, Inc. https://doi.org/10.1109/SSCI.2016.7850084
Conference Proceeding
Genetic optimization of fuzzy membership functions for cloud resource provisioning
Ullah A, Li J, Hussain A & Shen Y (2017) Genetic optimization of fuzzy membership functions for cloud resource provisioning. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece, 06.12.2016-09.12.2016. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/SSCI.2016.7850088
Conference Proceeding
Variable Neighbourhood Search: A Case Study for a Highly-Constrained Workforce Scheduling Problem
Reid KN, Li J, Swan J, McCormick A & Owusu G (2016) Variable Neighbourhood Search: A Case Study for a Highly-Constrained Workforce Scheduling Problem. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE SSCI 2016: IEEE Symposium Series on Computational Intelligence, Athens, Greece, 06.12.2016-09.12.2016. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/SSCI.2016.7850087
Conference Proceeding
GP vs GI: if you can't beat them, join them
Woodward J, Johnson C & Brownlee A (2016) GP vs GI: if you can't beat them, join them. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference, GECCO-2016, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1155-1156. https://doi.org/10.1145/2908961.2931694
Conference Proceeding
Evals is not enough: why we should report wall-clock time
Woodward J, Brownlee A & Johnson C (2016) Evals is not enough: why we should report wall-clock time. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. GECCO 2016: Genetic and Evolutionary Computation Conference, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1157-1158. https://doi.org/10.1145/2908961.2931695
Conference Proceeding
Connecting automatic parameter tuning, genetic programming as a hyper-heuristic and genetic improvement programming
Woodward J, Johnson C & Brownlee A (2016) Connecting automatic parameter tuning, genetic programming as a hyper-heuristic and genetic improvement programming. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. GECCO 2016: Genetic and Evolutionary Computation Conference, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1357-1358. https://doi.org/10.1145/2908961.2931728
Conference Proceeding
A short-time Prony method for the detection of transients
Cuyt A, Lee W & Tsai M (2016) A short-time Prony method for the detection of transients. In: Papadrakakis M, Papadopoulos V, Stefanou G & Plevris V (eds.) ECCOMAS Congress 2016 - VII European Congress on Computational Methods in Applied Sciences and Engineering Proceedings. VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016), Crete Island, Greece, 05.06.2016-10.06.2016. Athens, Greece: Institute of Structural Analysis and Antiseismic Research, National Technical University of Athens, pp. 4313-4321. https://www.eccomas2016.org/proceedings/pdf/7676.pdf
Conference Proceeding
Sparse interpolation and rational approximation
Cuyt A & Lee W (2016) Sparse interpolation and rational approximation. In: Hardin D, Lubinsky D & Simanek B (eds.) Modern Trends in Constructive Function Theory. Contemporary Mathematics, 661. Constructive Functions 2014 - Conference in Honor of Ed Saff's 70th Birthday, Nashville, TN, USA, 26.05.2014-30.05.2014. Providence, RI, USA: American Mathematical Society, pp. 229-242. https://bookstore.ams.org/conm-661
Other
Sparse Modelling and Multi-exponential Analysis
Cuyt A, Labahn G, Sidi A & Lee W (2016) Sparse Modelling and Multi-exponential Analysis. Dagstuhl Seminar 15251, Wadern, Germany Dagstuhl Reports, 6 (6), pp. 48-69. https://doi.org/10.4230/DagRep.5.6.48
Article
Visual Attention-Based Image Watermarking
Bhowmik D, Oakes M & Abhayaratne C (2016) Visual Attention-Based Image Watermarking. IEEE Access, 4, pp. 8002-8018. https://doi.org/10.1109/access.2016.2627241
Article
On tensor decomposition, sparse interpolation and Padé approximation
Cuyt A, Lee W & Yang X (2016) On tensor decomposition, sparse interpolation and Padé approximation. Jaen Journal on Approximation, 8 (1), pp. 33-58. http://www.ujaen.es/revista/jja/pdf/pre/jja-0008-01-16-3.pdf
Article
Quality Scalability Aware Watermarking for Visual Content
Bhowmik D & Abhayaratne C (2016) Quality Scalability Aware Watermarking for Visual Content. IEEE Transactions on Image Processing, 25 (11), pp. 5158-5172. https://doi.org/10.1109/tip.2016.2599785
Article
Towards unsupervised fluorescence lifetime imaging using low dimensional variable projection
Zhang Y, Cuyt A, Lee W, Lo Bianco G, Wu G, Chen Y & Li DD (2016) Towards unsupervised fluorescence lifetime imaging using low dimensional variable projection. Optics Express, 24 (23), pp. 26777-26791. https://doi.org/10.1364/oe.24.026777
Article
Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning
Ullah A, Li J, Hussain A & Yang E (2016) Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning. Cognitive Computation, 8 (5), pp. 992-1005. https://doi.org/10.1007/s12559-016-9391-y
Conference Proceeding
Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces
Adair J, Brownlee A & Ochoa G (2016) Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces. In: Angelov P, Gegov A, Jayne C & Shen Q (eds.) Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK. Advances in Intelligent Systems and Computing, 513. UKCI 2016 - 16th UK Workshop on Computational Intelligence, Lancaster, 07.09.2016-09.09.2016. London: Springer, pp. 287-307. https://doi.org/10.1007/978-3-319-46562-3_19
Article
From Spin to Swindle: Identifying Falsification in Financial Text
Minhas S & Hussain A (2016) From Spin to Swindle: Identifying Falsification in Financial Text. Cognitive Computation, 8 (4), pp. 729-745. https://doi.org/10.1007/s12559-016-9413-9
Conference Proceeding
Metaheuristic Design Pattern: Surrogate Fitness Functions
Brownlee A, Woodward J & Swan J (2016) Metaheuristic Design Pattern: Surrogate Fitness Functions. In: Silva S (ed.) GECCO Companion '15 Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. GECCO 2015: Annual Conference on Genetic and Evolutionary Computation, Madrid, Spain, 11.07.2015-15.07.2015. New York: ACM, pp. 1261-1264. https://doi.org/10.1145/2739482.2768499
Newspaper Article
Why everyone should have to learn computer programming
Woodward J & Fayed M (2016) Why everyone should have to learn computer programming. The Conversation. 13.07.2016. https://theconversation.com/why-everyone-should-have-to-learn-computer-programming-62328
Article
Numerical reconstruction of convex polytopes from directional moments
Collowald M, Cuyt A, Hubert E, Lee W & Salazar Celis O (2015) Numerical reconstruction of convex polytopes from directional moments. Advances in Computational Mathematics, 41 (6), pp. 1079-1099. https://doi.org/10.1007/s10444-014-9401-0
Conference Proceeding
Haiku - a Scala combinator toolkit for semi-automated composition of metaheuristics
Attila Kocsis Z, Brownlee A, Swan J & Senington R (2015) Haiku - a Scala combinator toolkit for semi-automated composition of metaheuristics. In: Barros M & Labiche Y (eds.) Search-Based Software Engineering: 7th International Symposium, SSBSE 2015, Bergamo, Italy, September 5-7, 2015, Proceedings. Lecture Notes in Computer Science, 9275. 7th International Symposium, SSBSE 2015, Bergamo, Italy, 05.09.2015-07.09.2015. Cham, Switzerland: Springer, pp. 125-140. https://doi.org/10.1007/978-3-319-22183-0_9
Conference Proceeding
Embedded Dynamic Improvement
Burles N, Swan J, Bowles E, Brownlee A, Attila Kocsis Z & Veerapen N (2015) Embedded Dynamic Improvement. In: Silva S (ed.) GECCO Companion '15 Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. GECCO '15 Genetic and Evolutionary Computation Conference 2015, Madrid, Spain, 11.07.2015-15.07.2015. New York: ACM, pp. 831-832. https://doi.org/10.1145/2739482.2768423
Conference Proceeding
Empirical Evaluation of Pareto Efficient Multi-objective Regression Test Case Prioritisation
Epitropakis M, Yoo S, Harman M & Burke E (2015) Empirical Evaluation of Pareto Efficient Multi-objective Regression Test Case Prioritisation. In: International Symposium on Software Testing and Analysis (ISSTA'15). International Symposium on Software Testing and Analysis (ISSTA'15), Baltimore, MD, USA, 12.07.2015-17.07.2015. New York, NY, USA: ACM, pp. 234-245. https://doi.org/10.1145/2771783.2771788
Article
An Integer Linear Programming approach to the single and bi-objective Next Release Problem
Veerapen N, Ochoa G, Harman M & Burke E (2015) An Integer Linear Programming approach to the single and bi-objective Next Release Problem. Information and Software Technology, 65, pp. 1-13. https://doi.org/10.1016/j.infsof.2015.03.008
Conference Proceeding
Genetic Improvement of Energy Usage is only as Reliable as the Measurements are Accurate
Haraldsson S & Woodward J (2015) Genetic Improvement of Energy Usage is only as Reliable as the Measurements are Accurate. In: Silva S (ed.) GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. GECCO 2015: Genetic and Evolutionary Computation Conference, Madrid, Spain, 11.07.2015-15.07.2015. New York: ACM, pp. 821-822. http://dl.acm.org/citation.cfm?id=2768421; https://doi.org/10.1145/2739482.2768421
Conference Proceeding
Object-Oriented Genetic Improvement for Improved Energy Consumption in Google Guava
Burles N, Bowles E, Brownlee A, Attila Kocsis Z, Swan J & Veerapen N (2015) Object-Oriented Genetic Improvement for Improved Energy Consumption in Google Guava. In: Barros M & Labiche Y (eds.) Search-Based Software Engineering. Lecture Notes in Computer Science, 9275. Symposium on Search-Based Software Engineering (SSBSE 2015), Bergamo, Italy, 05.09.2015-07.09.2015. Switzerland: Springer International Publishing, pp. 255-261. http://dx.doi.org/10.1007/978-3-319-22183-0_20; https://doi.org/10.1007/978-3-319-22183-0_20
Conference Proceeding
Benchmarks That Matter for Genetic Programming
Woodward J, Martin S & Swan J (2014) Benchmarks That Matter for Genetic Programming. In: Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion. GECCO Comp '14. GECCO 2014: Genetic and Evolutionary Computation Conference, Vancouver, BC, Canada, 12.07.2014-16.04.2014. New York, NY, USA: ACM, pp. 1397-1404. http://doi.acm.org/10.1145/2598394.2609875; https://doi.org/10.1145/2598394.2609875
Conference Proceeding
The 'Composite' Design Pattern in Metaheuristics
Woodward J, Swan J & Martin S (2014) The 'Composite' Design Pattern in Metaheuristics. In: GECCO Comp '14: Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion. GECCO Comp '14. GECCO 2014: Genetic and Evolutionary Computation Conference, Vancouver, BC, USA, 12.07.2014-16.07.2014. New York, NY, USA: ACM, pp. 1439-1444. http://doi.acm.org/10.1145/2598394.2609848; https://doi.org/10.1145/2598394.2609848
Conference Proceeding
Template Method Hyper-heuristics
Woodward J & Swan J (2014) Template Method Hyper-heuristics. In: GECCO Comp '14: Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion. GECCO Comp '14. GECCO 2014: Genetic and Evolutionary Computation Conference, Vancouver, BC, Canada, 12.07.2014-16.07.2014. New York, NY, USA: ACM, pp. 1437-1438. http://doi.acm.org/10.1145/2598394.2609843; https://doi.org/10.1145/2598394.2609843
Conference Proceeding
The 'Representative' Metaheuristic Design Pattern
Swan J, Attila Kocsis Z & Lisitsa A (2014) The 'Representative' Metaheuristic Design Pattern. In: GECCO Comp '14: Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion. GECCO Comp '14. GECCO 2014: Genetic and Evolutionary Computation Conference, Vancouver, BC, Canada, 12.07.2014-16.07.2014. New York, NY, USA: ACM, pp. 1435-1436. http://doi.acm.org/10.1145/2598394.2609842; https://doi.org/10.1145/2598394.2609842
Conference Proceeding
Hyperion2: A Toolkit for {Meta-, Hyper-} Heuristic Research
Brownlee A, Swan J, Ozcan E & Parkes AJ (2014) Hyperion2: A Toolkit for {Meta-, Hyper-} Heuristic Research. In: Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion. GECCO Comp '14. GECCO 2014: Genetic and Evolutionary Computation Conference, Vancouver, BC, Canada, 12.07.2014-16.07.2014. New York, NY, USA: ACM, pp. 1133-1140. http://doi.acm.org/10.1145/2598394.2605687; https://doi.org/10.1145/2598394.2605687
Conference Proceeding
Asymptotic Genetic Improvement Programming with Type Functors and Catamorphisms
Swan J & Attila Kocsis Z (2014) Asymptotic Genetic Improvement Programming with Type Functors and Catamorphisms. In: Johnson C, Krawiec K, Alberto M & O'Neill M (eds.) Semantic Methods in Genetic Programming (SMGP) at Parallel Problem Solving from Nature (PPSN{ XIV}). Semantic Methods in Genetic Programming (SMGP) Workshop at Parallel Problem Solving from Nature 2014 conference, Ljubljana, Slovenia, 13.09.2014-13.09.2014. Switzerland: Springer. http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Kocsis.pdf
Conference Proceeding
Repairing and Optimizing Hadoop hashCode Implementations
Attila Kocsis Z, Neumann G, Swan J, Epitropakis M, Brownlee A, Haraldsson S & Bowles E (2014) Repairing and Optimizing Hadoop hashCode Implementations. In: Le GC & Yoo S (eds.) Search-Based Software Engineering: 6th International Symposium, SSBSE 2014, Fortaleza, Brazil, August 26-29, 2014. Proceedings. 6th International Symposium, SSBSE 2014, Fortaleza, Brazil, 26.08.2014-29.08.2014. Berlin Heidelberg: Springer, pp. 259-264. http://link.springer.com/chapter/10.1007/978-3-319-09940-8_21; https://doi.org/10.1007/978-3-319-09940-8_21
Article
Multi-objective optimization of cellular fenestration by an evolutionary algorithm
Wright JA, Brownlee A, Mourshed MM & Wang M (2014) Multi-objective optimization of cellular fenestration by an evolutionary algorithm. Journal of Building Performance Simulation, 7 (1), pp. 33-51. https://doi.org/10.1080/19401493.2012.762808
Edited Book
Computer Mathematics -- 9th Asian Symposium (ASCM2009), Fukuoka, December 2009, 10th Asian Symposium (ASCM2012), Beijing, October 2012, Contributed Papers and Invited Talks
Feng R, Lee W & Sato Y (eds.) (2014) Computer Mathematics -- 9th Asian Symposium (ASCM2009), Fukuoka, December 2009, 10th Asian Symposium (ASCM2012), Beijing, October 2012, Contributed Papers and Invited Talks. Berlin Heidelberg: Springer-Verlag. https://www.springer.com/gb/book/9783662437988; https://doi.org/10.1007/978-3-662-43799-5
Conference Proceeding
Intelligent image processing techniques for cancer progression detection, recognition and prediction in the human liver
Ali L, Hussain A, Li J, Shah A, Sudhakr U, Mahmud M, Zakir U, Yan X, Luo B & Rajak M (2014) Intelligent image processing techniques for cancer progression detection, recognition and prediction in the human liver. In: 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE). 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE), Orlando, FL, USA, 09.12.2014-12.12.2014. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/cicare.2014.7007830
Newspaper Article
Air traffic control about to let pilots plan their own routes – but don’t worry
Brownlee A, Burke E & Benlic U (2014) Air traffic control about to let pilots plan their own routes – but don’t worry. The Conversation. 16.12.2014. https://theconversation.com/air-traffic-control-about-to-let-pilots-plan-their-own-routes-but-dont-worry-35446
Article
Effective learning hyper-heuristics for the course timetabling problem
Soria-Alcaraz JA, Ochoa G, Swan J, Carpio M, Puga H & Burke E (2014) Effective learning hyper-heuristics for the course timetabling problem. European Journal of Operational Research, 238 (1), pp. 77-86. https://doi.org/10.1016/j.ejor.2014.03.046
Article
A more realistic approach for airport ground movement optimisation with stand holding
Ravizza S, Atkin JAD & Burke E (2014) A more realistic approach for airport ground movement optimisation with stand holding. Journal of Scheduling, 17 (5), pp. 507-520. https://doi.org/10.1007/s10951-013-0323-3
Lecture
Airport Ground Movement: Real World Data Sets and Approaches to Handling Uncertainty
Brownlee A, Atkin JAD, Woodward J, Benlic U & Burke E (2014) Airport Ground Movement: Real World Data Sets and Approaches to Handling Uncertainty (Presentation) PATAT 2014: 10th International Conference on the Practice and Theory of Automated Timetabling, York, 26.08.2014-29.08.2014. http://www.patatconference.org/patat2014/programme.pdf
Article
Adaptive selection of heuristics for improving exam timetables
Burke E, Qu R & Soghier A (2014) Adaptive selection of heuristics for improving exam timetables. Annals of Operations Research, 218 (1), pp. 129-145. https://doi.org/10.1007/s10479-012-1140-3
Article
A constructive approach to examination timetabling based on adaptive decomposition and ordering
Abdul-Rahman S, Burke E, Bargiela A, McCollum B & Ozcan E (2014) A constructive approach to examination timetabling based on adaptive decomposition and ordering. Annals of Operations Research, 218 (1), pp. 3-21. https://doi.org/10.1007/s10479-011-0999-8
Patent
Smart data sampling and data reconstruction
Cuyt A & Lee W (2014) Smart data sampling and data reconstruction. Issuing Office no. EP2745404B1.
Article
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
Pappa GL, Ochoa G, Hyde M, Freitas AA, Woodward J & Swan J (2014) Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms. Genetic Programming and Evolvable Machines, 15 (1), pp. 3-35. https://doi.org/10.1007/s10710-013-9186-9
Article
Searching the Hyper-heuristic Design Space
Swan J, Woodward J, Ozcan E, Kendall G & Burke E (2014) Searching the Hyper-heuristic Design Space. Cognitive Computation, 6 (1), pp. 66-73. https://doi.org/10.1007/s12559-013-9201-8
Article
Isophote based center-surround contrast computation for image saliency detection
Chuang Y, Chen L, Chen G & Woodward J (2014) Isophote based center-surround contrast computation for image saliency detection. IEICE Transactions on Information and Systems, E97-D (1), pp. 160-163. https://doi.org/10.1587/transinf.E97.D.160
Conference Proceeding
Automated design of probability distributions as mutation operators for evolutionary programming using genetic programming
Hong L, Woodward J, Li J & Ozcan E (2013) Automated design of probability distributions as mutation operators for evolutionary programming using genetic programming. In: Krawiec K, Moraglio A, Hu T, Etaner-Uyar A & Hu B (eds.) Genetic Programming: 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013. Proceedings. Lecture Notes in Computer Science, 7831. 16th European Conference, EuroGP 2013, Vienna, Austria, 03.04.2013-05.04.2013. Berlin Heidelberg: Springer, pp. 85-96. http://link.springer.com/chapter/10.1007/978-3-642-37207-0_8#; https://doi.org/10.1007/978-3-642-39479-9
Article
A context-aware personalized travel recommendation system based on geotagged social media data mining
Majid A, Chen L, Chen G, Mirza HT, Hussain I & Woodward J (2013) A context-aware personalized travel recommendation system based on geotagged social media data mining. International Journal of Geographical Information Science, 27 (4), pp. 662-684. https://doi.org/10.1080/13658816.2012.696649
Article
Fitness modeling with markov networks
Brownlee A, McCall J & Zhang Q (2013) Fitness modeling with markov networks. IEEE Transactions on Evolutionary Computation, 17 (6), pp. 862-879. https://doi.org/10.1109/TEVC.2013.2281538
Conference Proceeding
A comparison of approaches to stepwise regression for global sensitivity analysis used with evolutionary optimization
Wang M, Wright JA, Buswell R & Brownlee A (2013) A comparison of approaches to stepwise regression for global sensitivity analysis used with evolutionary optimization. In: Proceedings of BS2013: 13th Conference of International Building Performance Simulation Association, Chambéry, France, August 26-28. BS2013: 13th Conference of International Building Performance Simulation Association, Chambéry, France, 26.08.2013-28.08.2013. London: International Building Performance Simulation Association, pp. 2551-2558. http://www.ibpsa.org/proceedings/BS2013/p_1047.pdf
Conference Proceeding
A review of artificial intelligence and biologically inspired computational approaches to solving issues in narrative financial disclosure
Minhas S, Poria S, Hussain A & Hussainey K (2013) A review of artificial intelligence and biologically inspired computational approaches to solving issues in narrative financial disclosure. In: Liu D, Alippi C, Zhao D & Hussain A (eds.) Advances in Brain Inspired Cognitive Systems: 6th International Conference, BICS 2013, Beijing, China, June 9-11, 2013. Proceedings. Lecture Notes in Computer Science, 7888. 6th International Conference on Brain Inspired Cognitive Systems, BICS 2013, Beijing, China, 09.06.2013-11.06.2013. Berlin Heidelberg: Springer, pp. 317-327. http://link.springer.com/chapter/10.1007/978-3-642-38786-9_36#; https://doi.org/10.1007/978-3-642-38786-9_36
Conference Proceeding
Sparse reconstruction of correlated multichannel activity
Peelman S, Van der Herten J, De Vos M, Lee W, Van Huffel S & Cuyt A (2013) Sparse reconstruction of correlated multichannel activity. In: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013), Osaka, Japan, 03.07.2013-07.07.2013. Piscataway, NJ, USA: IEEE, pp. 3897-3900. https://doi.org/10.1109/EMBC.2013.6610396
Article
An application of a GA with Markov network surrogate to feature selection
Brownlee A, Regnier-Coudert O, McCall J, Massie S & Stulajter S (2013) An application of a GA with Markov network surrogate to feature selection. International Journal of Systems Science, 44 (11), pp. 2039-2056. https://doi.org/10.1080/00207721.2012.684449
Article
In Memory of John G Taylor: A Polymath Scholar
Cutsuridis V & Hussain A (2013) In Memory of John G Taylor: A Polymath Scholar. Cognitive Computation, 5 (3), pp. 279-280. https://doi.org/10.1007/s12559-013-9226-z
Conference Paper (unpublished)
Hyper-heuristics generate heuristics for problem classes
Burke E, Swan J & Woodward J (2013) Hyper-heuristics generate heuristics for problem classes. OR55 Annual Conference, Exeter, UK, 03.09.2013-05.09.2013. http://www.theorsociety.com/Pages/Conferences/OR55/OR55.aspx
Conference Paper (unpublished)
No Free Lunch for Branch and Bound
Burke E, Swan J & Woodward J (2013) No Free Lunch for Branch and Bound. OR55 Annual Conference, 03.09.2013-05.09.2013. http://www.theorsociety.com/Pages/Conferences/OR55/OR55.aspx
Article
A hyper-heuristic approach to sequencing by hybridization of DNA sequences
Blazewicz J, Burke E, Kendall G, Mruczkiewicz W, Oguz C & Swiercz A (2013) A hyper-heuristic approach to sequencing by hybridization of DNA sequences. Annals of Operations Research, 207 (1), pp. 27-41. https://doi.org/10.1007/s10479-011-0927-y
Article
An effective heuristic for the two-dimensional irregular bin packing problem
Lopez-Camacho E, Ochoa G, Terashima-Marin H & Burke E (2013) An effective heuristic for the two-dimensional irregular bin packing problem. Annals of Operations Research, 206 (1), pp. 241-264. https://doi.org/10.1007/s10479-013-1341-4
Article
Hyper-heuristics: A survey of the state of the art
Burke E, Gendreau M, Hyde M, Kendall G, Ochoa G, Ozcan E & Qu R (2013) Hyper-heuristics: A survey of the state of the art. Journal of the Operational Research Society, 64 (12), pp. 1695-1724. https://doi.org/10.1057/jors.2013.71
Conference Paper (unpublished)
Industry challenges in using optimisation tools with IES Optimise as a case study
Watson V, Jones E, Murphy E, Wright JA, Brownlee A & Aird G (2013) Industry challenges in using optimisation tools with IES Optimise as a case study. CIBSE Technical Symposium, Liverpool, UK, 11.04.2013-12.04.2013. http://www.cibse.org/knowledge/cibse-technical-symposium-2013/industry-challenges-in-using-optimisation-tools-wi
Article
A multi-state model to improve the design of an automated system to monitor the activity patterns of patients with bipolar disorder
Mohiuddin SG, Brailsford SC, James CJ, Amor JD, Blum JM, Crowe JA, Magill E & Prociow PA (2013) A multi-state model to improve the design of an automated system to monitor the activity patterns of patients with bipolar disorder. Journal of the Operational Research Society, 64 (3), pp. 372-383. https://doi.org/10.1057/jors.2012.57
Article
A new model and a hyper-heuristic approach for two-dimensional shelf space allocation
Bai R, van Woensel T, Kendall G & Burke E (2013) A new model and a hyper-heuristic approach for two-dimensional shelf space allocation. 4OR: A Quarterly Journal of Operations Research, 11 (1), pp. 31-55. https://doi.org/10.1007/s10288-012-0211-2
Patent
Smart data sampling and data reconstruction
Cuyt A & Lee W (2013) Smart data sampling and data reconstruction. Issuing Office no. US 9,690,749 B2.
Conference Paper (unpublished)
Heuristic Function Resynthesis
Swan J, Burke E, Kendall G & Ozcan E (2012) Heuristic Function Resynthesis. OR54 Annual Conference - 2012, Edinburgh, UK, 04.09.2012-06.09.2012.
Conference Proceeding
Generic Software Subgraph Isomorphism
Swan J, Harman M, Ochoa G & Burke E (2012) Generic Software Subgraph Isomorphism. In: 4th Symposium on Search Based-Software Engineering, Riva del Garda, Trento, Italy, September 28th-30th 2012: Fast Abstracts. 4th Symposium on Search Based Software Engineering (4th SSBSE). Trento, Italy: Fondazione Bruno Kessler Press, pp. 43-48. http://selab.fbk.eu/ssbse2012/index.php?p=program
Conference Proceeding
An evolutionary algorithm for the over-constrained airport baggage sorting station assignment problem
Asco A, Atkin JAD & Burke E (2012) An evolutionary algorithm for the over-constrained airport baggage sorting station assignment problem. In: Bui L, Ong Y, Hoai N, Ishibuchi H & Suganthan P (eds.) Simulated Evolution and Learning: 9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012. Proceedings. Lecture Notes in Computer Science, 7673. 9th International Conference, SEAL 2012: Simulated Evolution and Learning, Hanoi, Vietnam, 16.12.2012-19.12.2012. Heidelberg: Springer, pp. 32-41. http://link.springer.com/chapter/10.1007%2F978-3-642-34859-4_4; https://doi.org/10.1007/978-3-642-34859-4_4
Conference Proceeding
An improved choice function heuristic selection for cross domain heuristic search
Drake J, Ozcan E & Burke E (2012) An improved choice function heuristic selection for cross domain heuristic search. In: Coello CC, Cutello V, Deb K K, Forrest S, Nicosia G & Pavone M (eds.) Parallel Problem Solving from Nature - PPSN XII. Lecture Notes in Computer Science, 7492. 12th International Conference on Parallel Problem Solving from Nature - PPSN XII, Taormina, Italy, 01.09.2012-05.09.2012. Berlin Heidelberg: Springer, pp. 307-316. http://link.springer.com/chapter/10.1007%2F978-3-642-32964-7_31; https://doi.org/10.1007/978-3-642-32964-7_31
Article
A branch and bound algorithm for the cyclic job-shop problem with transportation
Brucker P, Burke E & Groenemeyer S (2012) A branch and bound algorithm for the cyclic job-shop problem with transportation. Computers and Operations Research, 39 (12), pp. 3200-3214. https://doi.org/10.1016/j.cor.2012.04.008